import warnings
warnings.filterwarnings('ignore')
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
sns.set_style('darkgrid')
pd.options.display.float_format = '{:.2f}'.format
from ydata_profiling import ProfileReport
import missingno as msno
# Geopandas
import geopandas
from geodatasets import get_path
import geodatasets
# Folium
import folium
# Plotly
import plotly.express as px
# plotly subplots
import plotly.subplots as sp
from plotly.subplots import make_subplots
# Cufflinks
import cufflinks as cf
# Altair
import altair as alt
# Bokeh
import bokeh
# Panel (Dashboard)
import panel as pn
# pip install ydata-profiling
pn.extension('plotly')
df = pd.read_csv('hotel_booking.csv')
ProfileReport(df)
Summarize dataset: 0%| | 0/5 [00:00<?, ?it/s]
Generate report structure: 0%| | 0/1 [00:00<?, ?it/s]
Render HTML: 0%| | 0/1 [00:00<?, ?it/s]